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The International Journal of the Royal Society of Thailand
                                                                                                Volume XV-2023



                         In 2022, two researchers affiliated with different organizations in Thailand were
                  featured in online blog posts that presented evidence of their involvement in paper
                  mill service activities (Schneider, 2022; Wise, 2022). Subsequently, concerns about the

                  transparency of some of their articles, including issues related to reproducibility, result
                  fabrications, and collaborations among co-authors from diverse academic domains,
                  were raised on PubPeer forums (https://pubpeer.com/). The compilation of this evidence

                  has resulted in the retraction of several of their articles and has also sparked heightened
                  public attention and awareness regarding research integrity within the broader
                  community in Thailand. Later in 2023, their involvement with paper mill services of

                  these researchers, along with some additional researchers, were confirmed following
                  formal investigations by the ethical committees of their respective organizations.

                  This emerging issue highlights the need for tools to detect and address research
                  misconduct within the academic community, particularly in Thailand.

                         Social network analysis is a versatile tool for exploring entity relationships,

                  applicable across various domains. It has been used to explore collaborative networks
                  among institutions, countries, or regions, pinpointing influential knowledge drivers
                  in specific fields (Fonseca et al, 2016). Further, ego-centric network analysis, a subset

                  of social network analysis that examines partial networks centered around a single
                  individual (referred to as ‘ego’), has also been used to examine co-authorship patterns
                  and assess the performance of individual researchers (Abbasi et al, 2012). With the

                  proliferation of paper mill activities in recent years, the true collaborative network
                  patterns among academic entities may have become obscured by the presence of false
                  co-authorships from these activities. Yet, it is reasonable to expect that extensive use

                  of such services can create a distinct authorship profile distinguishable through a
                  network analysis approach.

                         The objective of this study was to utilize ego-centric network analysis to

                  examine the various authorship profiles of researchers formally identified as clients of
                  paper mill services and assess how they differ, if at all, from other researchers within

                  their academic circles. These distinct profiles could potentially serve as indicators for
                  identifying misconduct activities. Our focus was on the Thai research community,
                  presented as a case study with potential applicability to broader contexts.













                        Phrutsamon Wongnak et al.                                                          3
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